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Luận văn thạc sĩ transductive support vector machines for cross lingual sentiment classification

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Nội dung chi tiết: Luận văn thạc sĩ transductive support vector machines for cross lingual sentiment classification

Luận văn thạc sĩ transductive support vector machines for cross lingual sentiment classification

Transductive Support Vector Machines for Cross-lingual Sentiment ClassificationIcongINguyen Thi Thuy LinkFaculty of Information Technology University

Luận văn thạc sĩ transductive support vector machines for cross lingual sentiment classification of Engineering and TechnologyVietnam National University, HanoiSupervised byProfessor Ha Quang ThuyA thesis submitted in fulfillment of the requireme

nts for the degree of Master of Computer Science December. 2009ORIGINALITY STATEMENT‘I hereby declare that I llis submission is my own work anil Io th Luận văn thạc sĩ transductive support vector machines for cross lingual sentiment classification

e best of my knowledge it contains no materials previously published or written by another person, or sulwtanlial proportions of material which have b

Luận văn thạc sĩ transductive support vector machines for cross lingual sentiment classification

een accepted for (.he award of any other degree or diploma at University of Engineering and Technology any other educational institution, except where

Transductive Support Vector Machines for Cross-lingual Sentiment ClassificationIcongINguyen Thi Thuy LinkFaculty of Information Technology University

Luận văn thạc sĩ transductive support vector machines for cross lingual sentiment classification xtent that assistance from others in the project’s design and conception or in style, presentation and linguistic expression is acknowledged.’Signed..

..............................1AbstractSeal intent classification lias been much attention and has many useful applications on business and intelligen Luận văn thạc sĩ transductive support vector machines for cross lingual sentiment classification

ce. This thesis investigates sentiment classification problem employing machine learning technique. Since the limit of Vietnamese sentiment corpus, wh

Luận văn thạc sĩ transductive support vector machines for cross lingual sentiment classification

ile there are many available English sentiment corpus on the Web. Wo combine English corpora as training data and a number of unlabeled Vietnamese dat

Transductive Support Vector Machines for Cross-lingual Sentiment ClassificationIcongINguyen Thi Thuy LinkFaculty of Information Technology University

Luận văn thạc sĩ transductive support vector machines for cross lingual sentiment classification e types of features to obtain the best performance.The results show that semi-supervised classifier are quite good in leveraging cross-lingual corpus

to compare with the classifier without cross-lingual corpus. In term of features, we find that using only unigram model turning out the outperfor-mace Luận văn thạc sĩ transductive support vector machines for cross lingual sentiment classification

.AcknowledgementsI’m grateful to my advisor Associate Professor Ha Quang Thuy who guide and encourage me since 1 was undergraduate student. 1 have lea

Luận văn thạc sĩ transductive support vector machines for cross lingual sentiment classification

rned much about machine learning and nature language processing from him, and I appreciate his guidance and assistance.1thank so much to Assistant Pro

Transductive Support Vector Machines for Cross-lingual Sentiment ClassificationIcongINguyen Thi Thuy LinkFaculty of Information Technology University

Luận văn thạc sĩ transductive support vector machines for cross lingual sentiment classification ch on my thesis.1 am also thankful the members of Smart of Integrated Systems (SIS Lab) and Information System Department in the University of Enginee

ring and Technology all of who always support me in work and study.I thank to the members of Nature Languages Processing Laboratory in .J A 1ST for th Luận văn thạc sĩ transductive support vector machines for cross lingual sentiment classification

e corroborate with me during the time 1 was an exchange student in JA1ST.I would like to dedicate this thesis to my wonderful family - from whom I’ve

Luận văn thạc sĩ transductive support vector machines for cross lingual sentiment classification

learnt many tilings about life including the process of scientific thought.Hanoi. December 2009Nguyen Thỉ Thuy LinhTable of Contents1Introduction11.1I

Transductive Support Vector Machines for Cross-lingual Sentiment ClassificationIcongINguyen Thi Thuy LinkFaculty of Information Technology University

Luận văn thạc sĩ transductive support vector machines for cross lingual sentiment classification ach...................................................... 31.1Related works..................................................... 41.1.1Sentiment class

ification................................... 11.1.1.1Sentiment classification tasks.................... 41.4.1.2Sentiment classification features..... Luận văn thạc sĩ transductive support vector machines for cross lingual sentiment classification

............ 41.4.1.3Sentiment classification techniques............... 4

Transductive Support Vector Machines for Cross-lingual Sentiment ClassificationIcongINguyen Thi Thuy LinkFaculty of Information Technology University

Transductive Support Vector Machines for Cross-lingual Sentiment ClassificationIcongINguyen Thi Thuy LinkFaculty of Information Technology University

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